Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T05:59:28.037909Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 2 inbound Pith citation observations for arXiv:2506.06656.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T05:59:28.037909Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-21T17:47:21.976868Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-21T17:50:26.369706Z
47 of 47 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 9e83215f-ec30-4ea5-bb9c-8490e80d3f06 · outbound
Rescaled Influence Functions: Accurate Data Attribution in High Dimension Understanding the origins of bias in word embeddings
Reference 1
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Observation 287614ea-072b-47ae-a63f-bfced31cfe55 · outbound
Rescaled Influence Functions: Accurate Data Attribution in High Dimension An Automatic Finite-Sample Robustness Metric: When Can Dropping a Little Data Make a Big Difference?
Reference 2
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Observation 90bcce78-624a-471a-baa9-271531213d28 · outbound
Rescaled Influence Functions: Accurate Data Attribution in High Dimension Unresolved cited work
Reference 3
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Observation a501db57-640b-45c0-9d8a-b57b0691fc33 · outbound
Rescaled Influence Functions: Accurate Data Attribution in High Dimension Influence functions in deep learning are fragile
Reference 4
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Observation 5b3ed556-e1bb-4de6-b716-bc38baaed003 · outbound
Rescaled Influence Functions: Accurate Data Attribution in High Dimension On second-order group influence functions for black-box predictions
Reference 5
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Observation d5db028f-01cd-432d-8928-a42b612eb732 · outbound
Rescaled Influence Functions: Accurate Data Attribution in High Dimension Look, listen and learn more: Design choices for deep audio embeddings
Reference 6
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Observation c5dc1b04-d429-424f-9b9d-9e10f435c891 · outbound
Rescaled Influence Functions: Accurate Data Attribution in High Dimension Bert: Pre-training of deep bidirectional transformers for language understanding
Reference 7
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Rescaled Influence Functions: Accurate Data Attribution in High Dimension Bootstrap methods: another look at the jackknife
Reference 8
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Observation b56acc0a-63b6-4bac-9816-13317182492c · outbound
Rescaled Influence Functions: Accurate Data Attribution in High Dimension Optimizing ML Training with Metagradient Descent
Reference 9
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Observation 7c38ad96-e1c5-4d68-817a-dd3c192c82c1 · outbound
Rescaled Influence Functions: Accurate Data Attribution in High Dimension What neural networks memorize and why: Discovering the long tail via influence estimation
Reference 10
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Observation 7578e1ae-b4d8-43fb-b052-41bfdfc86709 · outbound
Rescaled Influence Functions: Accurate Data Attribution in High Dimension Studying Large Language Model Generalization with Influence Functions
Reference 11
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Observation 8438a1e0-4012-4a0e-a92c-2ec5f145be53 · outbound
Rescaled Influence Functions: Accurate Data Attribution in High Dimension Certified Data Removal from Machine Learning Models
Reference 12
Source-reported events for the cited work
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Observation 1777909c-f766-445a-9bc4-59841df09497 · outbound
Rescaled Influence Functions: Accurate Data Attribution in High Dimension A Higher-Order Swiss Army Infinitesimal Jackknife
Reference 13
Source-reported events for the cited work
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Observation db824faa-ac58-438e-abc2-cb86ee8a1b6e · outbound
Rescaled Influence Functions: Accurate Data Attribution in High Dimension A swiss army infinitesimal jackknife
Reference 14
Source-reported events for the cited work
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Observation 8661b018-ac6c-4648-8503-090e1d5fbb2f · outbound
Rescaled Influence Functions: Accurate Data Attribution in High Dimension Data shapley: Equitable valuation of data for machine learning
Reference 15
Source-reported events for the cited work
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Observation 7cb0e459-38eb-45fd-b43f-90269cf784ef · outbound
Rescaled Influence Functions: Accurate Data Attribution in High Dimension The influence curve and its role in robust estimation
Reference 16
Source-reported events for the cited work
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Observation 04dfb583-c25e-4e0c-a908-843a706a8ed3 · outbound
Rescaled Influence Functions: Accurate Data Attribution in High Dimension Training data influence analysis and estimation: A survey
Reference 17
Source-reported events for the cited work
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Observation 2403f3a1-351f-47d5-a883-8fb60705de62 · outbound
Rescaled Influence Functions: Accurate Data Attribution in High Dimension Approximate data deletion from machine learning models
Reference 18
Source-reported events for the cited work
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Observation adce604e-47f8-47ff-803a-657363dfbd4a · outbound
Rescaled Influence Functions: Accurate Data Attribution in High Dimension Datamodels: Understanding predictions with data and data with predictions
Reference 19
Source-reported events for the cited work
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Observation 3d0436f3-b61a-4bc8-ba16-61d024f47233 · outbound
Rescaled Influence Functions: Accurate Data Attribution in High Dimension Unresolved cited work
Reference 20
Source-reported events for the cited work
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Observation 505384b3-c631-439c-b88d-7136de7713bb · outbound
Rescaled Influence Functions: Accurate Data Attribution in High Dimension Towards efficient data valuation based on the shapley value
Reference 21
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Observation 6eafd1e6-9f2f-4eb3-9a84-aab6c74d72a6 · outbound
Rescaled Influence Functions: Accurate Data Attribution in High Dimension Unresolved cited work
Reference 22
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Observation c4359bc2-2261-4cb7-a970-48e0f2e566a3 · outbound
Rescaled Influence Functions: Accurate Data Attribution in High Dimension Understanding black-box predictions via influence functions
Reference 23
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Observation 16da0bb9-0e60-40cd-9684-a9a6528daeb4 · outbound
Rescaled Influence Functions: Accurate Data Attribution in High Dimension Rethinking backdoor attacks
Reference 24
Source-reported events for the cited work
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Observation 97c90c49-07cf-43e3-9264-25bb86dbce7a · outbound
Rescaled Influence Functions: Accurate Data Attribution in High Dimension Learning multiple layers of features from tiny images
Reference 25
Source-reported events for the cited work
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Observation d63e1fdd-2139-4f4d-8c86-07743e439b9c · outbound
Rescaled Influence Functions: Accurate Data Attribution in High Dimension Stronger data poisoning attacks break data sanitization defenses
Reference 26
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Observation 1775579a-9ee4-4a8c-ad45-9daebfa94529 · outbound
Rescaled Influence Functions: Accurate Data Attribution in High Dimension Robust statistics—the approach based on influence functions, 1986
Reference 27
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Observation fec1ee35-7ea7-4056-a265-2c7475e4d37a · outbound
Rescaled Influence Functions: Accurate Data Attribution in High Dimension Achieving fairness at no utility cost via data reweighing with influence
Reference 28
Source-reported events for the cited work
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Observation a15ec0b3-4589-45c5-b446-d9a2a0128414 · outbound
Rescaled Influence Functions: Accurate Data Attribution in High Dimension Spam filtering with naive bayes-which naive bayes? In CEAS , volume 17, pages 28--69
Reference 29
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Observation 943db3fa-ff77-4714-961d-f4ad9800d172 · outbound
Rescaled Influence Functions: Accurate Data Attribution in High Dimension Maas, Raymond E
Reference 30
Source-reported events for the cited work
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Observation e8294592-e67b-41d2-ac14-034c3ff37e88 · outbound
Rescaled Influence Functions: Accurate Data Attribution in High Dimension Data attribution at scale
Reference 31
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Observation 75dc2f43-6b42-43dc-9b8b-3d37a93cd680 · outbound
Rescaled Influence Functions: Accurate Data Attribution in High Dimension Attributing model behavior at scale (attrib)
Reference 32
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Observation c057c761-c558-490a-a7c3-f8f1a187a5df · outbound
Rescaled Influence Functions: Accurate Data Attribution in High Dimension TRAK: Attributing Model Behavior at Scale
Reference 33
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Observation c6f1fcea-7c3f-4df2-8d5f-cab787fb2bac · outbound
Rescaled Influence Functions: Accurate Data Attribution in High Dimension Unresolved cited work
Reference 34
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Observation 0a75c7ad-653b-45c3-8283-70aa645a6fc8 · outbound
Rescaled Influence Functions: Accurate Data Attribution in High Dimension Logistic regression diagnostics
Reference 35
Source-reported events for the cited work
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Observation cc9f8ccf-9407-4bbc-a40f-f4709e3ba3cc · outbound
Rescaled Influence Functions: Accurate Data Attribution in High Dimension Imagenet large scale visual recognition challenge
Reference 36
Source-reported events for the cited work
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Observation 6f5509aa-9807-4bd6-b041-30a0fcaf8f8b · outbound
Rescaled Influence Functions: Accurate Data Attribution in High Dimension Unresolved cited work
Reference 37
Source-reported events for the cited work
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Observation 2fe54e74-c120-4596-a1cc-3223c2d011d9 · outbound
Rescaled Influence Functions: Accurate Data Attribution in High Dimension Robust statistics: the approach based on influence functions, 1986
Reference 38
Source-reported events for the cited work
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Observation 010d790c-7cbb-4756-93a5-16a9a24a06ca · outbound
Rescaled Influence Functions: Accurate Data Attribution in High Dimension A scalable estimate of the extra-sample prediction error via approximate leave-one-out
Reference 39
Source-reported events for the cited work
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Observation f914f980-f30a-4220-851a-5bd8763e2a3d · outbound
Rescaled Influence Functions: Accurate Data Attribution in High Dimension Remember what you want to forget: Algorithms for machine unlearning
Reference 40
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Observation a035d8c3-b1fb-4d96-ba96-aef5def1dd5c · outbound
Rescaled Influence Functions: Accurate Data Attribution in High Dimension Can you trust this prediction? auditing pointwise reliability after learning
Reference 41
Source-reported events for the cited work
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Observation d49878b0-201c-4e55-8b09-c855f4458588 · outbound
Rescaled Influence Functions: Accurate Data Attribution in High Dimension Rethinking the inception architecture for computer vision
Reference 42
Source-reported events for the cited work
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Observation 82b5e618-ec60-4d93-8f8c-a9730787fa36 · outbound
Rescaled Influence Functions: Accurate Data Attribution in High Dimension Algorithms that approximate data removal: New results and limitations
Reference 43
Source-reported events for the cited work
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Observation 1ebcd786-a9ac-49c6-ad6e-ea35e98bf861 · outbound
Rescaled Influence Functions: Accurate Data Attribution in High Dimension Scaling up influence functions
Reference 44
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Observation 792d6fb0-ab5b-4700-8f0f-ba1af9f56890 · outbound
Rescaled Influence Functions: Accurate Data Attribution in High Dimension ResNet-50 Pretrained Model
Reference 45
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Observation d039e2c5-b72c-44ec-8bd5-e9c8f12e96a3 · outbound
Rescaled Influence Functions: Accurate Data Attribution in High Dimension influence sketching
Reference 46
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Observation a7210fdc-2183-4f77-bda3-eb84e2f9b3c4 · outbound
Rescaled Influence Functions: Accurate Data Attribution in High Dimension Approximate cross-validation: Guarantees for model assessment and selection
Reference 47
Source-reported events for the cited work
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Observation 0afc0c33-600e-4475-ad5a-ddf7a3aa4d9c · inbound
On the Accuracy of Newton Step and Influence Function Data Attributions Rescaled Influence Functions: Accurate Data Attribution in High Dimension
Reference 19
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Observation 38617ade-4435-4218-bc5a-5649f9e50305 · inbound
On the Fragility of Data Attribution When Learning Is Distributed Rescaled Influence Functions: Accurate Data Attribution in High Dimension
Reference 20
Source-reported events for the cited work
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